Establishment and validation of risk prediction model to predict intravenous immunoglobulin-resistance in Kawasaki disease based on meta-analysis of 15 cohorts

Table 2 Characteristics of patients included in the present study

Author (year)	Country	Sample size (n)	IVIG resistance (n)	IVIG responder (n)	Proportion of IVIG resistance (%)	Sex (female/ male)
Muta et al. (2006) [9]	Japan	11,366	1855	9511	16.32%	4822/6544
Egami et al. (2006) [10]	Japan	320	41	279	12.81%	136/184
Uehara et al. (2008) [11]	Japan	6330	1286	5044	20.32%	2643/3687
Fu PP et al. (2013) [12]	China	1177	211	966	17.93%	431/746
Kobayashi et al. (2006) [13]	Japan	546	112	434	20.51%	231/315
Lin MT et al. (2015) [14]	China	181	22	159	12.15%	74/107
Park et al. (2013) [15]	Korea	309	30	279	9.71%	148/161
Kim et al. (2016) [16]	North America	135	22	113	16.30%	51/84
Tang et al. (2016) [17]	China	910	46	864	5.05%	326/584
Gámez-González et al. (2018) [18]	Japan	419	101	318	24.11%	175/244
Tian X et al. (2017) [19]	China	560	56	504	10.00%	210/350
Li G et al. (2021) [20]	China	1257	187	1070	14.88%	539/718
Wei M et al. (2015) [21]	China	1953	133	1820	6.81%	711/1242
Shashaani et al. (2020) [22]	Iran	363	87	276	23.97%	217/146
Sleeper et al. (2011) [23]	North America	198	27	171	13.64%	74/124

ISSN: 1824-7288